Tutorial

Tutorial posts from the AIHubMix team.

Migrating to GPT-6.1 Sol: 9 Things That Can Go Wrong

Migrating to GPT-6.1 Sol: 9 Things That Can Go Wrong

Moving from GPT-6 Sol to 6.1 Sol looks like a one-line change, and the price is the same. But there are a few breaking changes and some shifts in behavior, so changing only the model name can get you errors, a surprise bill, or an agent that behaves differently. OpenAI's GPT-6 migration guide covers most of the official changes. This post adds the things that tend to bite in practice. They're ordered from "fails loudly" to "fails quietly." 1. reasoning_effort: "none" returns a 400 What you'l

8 min readTutorial
Choosing a Reasoning Effort for GPT-6.1 Sol: low to max

Choosing a Reasoning Effort for GPT-6.1 Sol: low to max

GPT-6.1 Sol has five reasoning effort levels: low, medium (the default), high, xhigh, and max. The big change from GPT-6 Sol is that none and minimal are gone, so low is now the floor. This one setting drives both latency and cost. You never see reasoning tokens, but you pay for them at the output rate ($10 per million for 6.1 Sol on AIHubMix), and they take up room in the context window. Pick the wrong level and you can easily pay several times more than you need to. What each level is for

6 min readTutorial
How to Use a Real Face in Seedance 2.5 with AIHubMix Real-Human Assets

How to Use a Real Face in Seedance 2.5 with AIHubMix Real-Human Assets

AI video becomes much more useful when the person on screen stays recognizable from one scene to the next. AIHubMix real-human assets provide a consent-based way to use an approved face in Seedance video generation while keeping authorization, asset processing, and generation as separate, verifiable steps. This guide explains what real-human video is, how the AIHubMix workflow works, why it is useful, and how to create a Seedance 2.5 video from a real face. It also explains the difference betwe

5 min readTutorial
GLM-5.3 Hands-on Guide: Always-on Thinking, Three Effort Levels, and the API Support Matrix

GLM-5.3 Hands-on Guide: Always-on Thinking, Three Effort Levels, and the API Support Matrix

An August 2026 guide to calling GLM-5.3: always-on thinking with three reasoning_effort levels, reasoning summaries, parallel tool calls, structured output, and automatic caching — with tested examples for the AIHubMix Chat, Responses, and Messages APIs.

7 min readTutorial
DeepSeek V4 Pro (0813): Thinking Passback & 3-API Matrix

DeepSeek V4 Pro (0813): Thinking Passback & 3-API Matrix

DeepSeek V4 Pro (0813) hands-on guide: thinking toggle and reasoning_effort levels, mandatory thinking-history passback, tools, caching, and a 3-API matrix.

15 min readTutorial
Kimi K3 Hands-On Guide: New Parameters & API Support Matrix

Kimi K3 Hands-On Guide: New Parameters & API Support Matrix

July 2026 Kimi K3 guide: reasoning_effort max, thinking history, dynamic tool loading, structured output, auto caching, partial prefix, and vision inputs.

8 min readTutorial
Claude Opus 4.7 New Parameters Guide

Claude Opus 4.7 New Parameters Guide

This article covers two key changes to reasoning control in Claude Opus 4.7, along with complete usage instructions for both the AIHubmix native API and the Chat unified interface. See also: Anthropic official announcement and model change log.

3 min readTutorial